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hey thereamp;#39;s been a lot of research thatamp;#39;s come out recently that talks about how um small uh llm models trained on highquality diverse synthetic data can meet or exceed performance of models like five times their size so really cool exciting stuff thereamp;#39;s also some um some of these papers that are kind of mentioned here highlight uh thereamp;#39;s some other advantages around combating toxicity and and kind of creating more Alliant content since you can control the output of a synthetic model we can create higher quality examples to train it with and reduce biases or propensity to say things that it shouldnamp;#39;t say and things like that so really exciting field hard for people to get started with um so here weamp;#39;re going to walk through an example of using grle tab LM uh to create this yourself um so uh highlight some of the things you need to get started here so access to the gret tabular LM model U which you can apply for on our tlm page weamp;#39
